
DevOps Engineer
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants anywhere in the world.
• Design, implement, and sustain scalable cloud infrastructure.
• Establish and oversee CI/CD pipelines for dependable software deployment.
• Manage Kubernetes services and resolve cluster failures.
• Optimize performance across distributed systems.
• Address production incidents and conduct post-mortems.
• Identify root causes and enhance reliability processes.
• Implement and refine logging, monitoring, tracing, and alerting systems.
• Monitor infrastructure resource utilization and enhance cloud efficiency.
• Manage global CDN configurations.
• Maintain SSO systems, databases, backups, and recovery procedures.
• Support development, staging, and production environments.
• Automate infrastructure and operational processes using scripts and Infrastructure as Code.
• Collaborate with Backend, Product, and Engineering teams across multiple products.
• Extensive hands-on experience with AWS and cloud architecture and operations.
• In-depth knowledge of Kubernetes and Docker, including management of production-grade clusters.
• Experience with managed Kubernetes platforms like EKS, GKE, or AKS.
• Advanced expertise in Terraform, Helm, and Git.
• Practical experience in implementing and maintaining GitHub Actions for CI/CD pipelines.
• Familiarity with Prometheus, Grafana, and OpenTelemetry.
• Capability to automate system and deployment tasks using Python and Bash.
• Strong troubleshooting abilities and experience with distributed production systems.
• Experience with AI-assisted development tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Codex, or similar.
• Hands-on experience managing API gateways for high-traffic applications.
• Experience with machine learning projects, including deployment, monitoring, and scaling of ML workloads.
• Familiarity with machine learning platforms, frameworks, or libraries.
• Experience in a DBA role, encompassing the management, maintenance, and optimization of large-scale databases.
• Company-funded medical expense compensation.
• AI subscription and additional tools provided.
• Flexible paid time off policy.
• 21 days of annual leave.
• 10 bank holidays.
• Opportunity for global remote work.
• Supportive and collaborative culture.
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